摘要
针对传统的一刀切式的船舶优先级调度算法在实际应用中具有的很大局限性,提出了一种基于模糊聚类思想的优先级分配方法,将具有相似特征属性的来港作业船舶进行模糊聚类,并依据设计的相应算法计算得出各艘船舶在港服务的优先级,以合理安排来港船舶的作业顺序,进而提高港区的整体经济效益。实例计算结果表明:在港区的岸桥、泊位使用更为连贯紧凑、利用率更高,港区码头的整体作业效率相对传统的基于先到先服务策略的调度方案得到大幅提升。
Berth and quay crane are scarce resources in container terminals.There,the integrated planning of berth allocation and quay crane assignment problems has attracted much attention in literature.It is vital to schedule vessels' loading and unloading since the container terminal is always in operation.A new approach based on fuzzy clustering method was proposed in this paper to solve the defects of former priority-based algorithm in practical application.Vessels were grouped into clusters with mutually similar attributes and the level of priority for different vessels was calculated.The container terminal could enhance the economic efficiency from rationally vessels scheduling.The calculation result showed that as compared with the traditional first-come-firstserve assignment method,the overall terminal efficiency and productivity was greatly improved.
出处
《中国科技论文》
北大核心
2017年第19期2219-2222,共4页
China Sciencepaper
基金
河北省自然科学基金资助项目(F2014202241)
关键词
水路运输
泊位分配
模糊聚类
港口码头
岸桥调度
waterway transportation
berth allocation
fuzzy clustering
container terminal
quay crane assignment
